Release Large Market Model on Hugging Face

Hi @DG-git-dev 🤗

I'm Niels and work as part of the open-source team at Hugging Face. I discovered your work on Arxiv and was wondering whether you would like to submit it to hf.co/papers to improve its discoverability. If you are one of the authors, you can submit it at https://huggingface.co/papers/submit.

The paper page lets people discuss about your paper and lets them find artifacts about it (your models for instance),
you can also claim the paper as yours which will show up on your public profile at HF, add Github and project page URLs.

I saw the following sentence in the Github README: "The release of the pretrained model is currently undergoing internal review. We will make the model public once it passes the review".
It'd be great to make the model available on the 🤗 hub, to improve its discoverability/visibility.
We can add tags so that people find them when filtering https://huggingface.co/models.

See here for a guide: https://huggingface.co/docs/hub/models-uploading.

In this case, we could leverage the PyTorchModelHubMixin class which adds from_pretrained and push_to_hub to any custom nn.Module. Alternatively, one can leverages the hf_hub_download one-liner to download a checkpoint from the hub.

We encourage researchers to push each model checkpoint to a separate model repository, so that things like download stats also work. We can then also link the checkpoints to the paper page.

Let me know if you're interested/need any help regarding this!

Cheers,

Niels

Start with the repository README and its note that pretrained model release is under internal review. Review the linked Hugging Face model-uploading guide and the PyTorchModelHubMixin or hf_hub_download options. Done means the approved model checkpoints are available on Hugging Face in separate model repositories, with tags and links to the paper page.